OBJECTIVES: To construct an intelligent analysis model for classifying fetal orientation during intrapartum ultrasound videos based on multi-feature fusion. METHODS: The proposed model consists of the Input, Backbone Network and Classification Head modules. The Input module carries out data augmentation to improve the sample quality and generalization ability of the model. The Backbone Network was responsible for feature extraction based on Yolov8 combined with CBAM, ECA, PSA attention mechanism and AIFI feature interaction module. The Classification Head consists of a convolutional layer and a softmax function to output the final probability value of each class. The images of the key structures (the eyes, face, head, thalamus, and spine) were annotated with frames by physicians for model training to improve the classification accuracy of the anterior occipital, posterior occipital, and transverse occipital orientations. RESULTS: The experimental results showed that the proposed model had excellent performance in the tire orientation classification task with the classification accuracy reaching 0.984, an area under the PR curve (average accuracy) of 0.993, and area under the ROC curve of 0.984, and a kappa consistency test score of 0.974. The prediction results by the deep learning model were highly consistent with the actual classification results. CONCLUSIONS The multi-feature fusion model proposed in this study can efficiently and accurately classify fetal orientation in intrapartum ultrasound videos.
Humans ; Female ; Ultrasonography, Prenatal/methods* ; Pregnancy ; Fetus/diagnostic imaging* ; Neural Networks, Computer ; Video Recording

Epilepsy is one of the most common chronic brain diseases,and taking anti-seizure medications(ASMs)is the main treatment method.When patients with epilepsy achieve long-term remission,gradually reducing ASMs has become a common concern for both patients and doctors.However,there is significant heterogeneity in current research on withdrawal of epilepsy medication.This article provides a literature review on whether patients with epilepsy who have been taking ASMs for a long time without seizures can be withdrawn,how long it takes to withdraw without seizures,how to withdraw medication,recurrence and prognosis after withdrawal,and factors affecting recurrence and prognosis.

Radiation-induced heart disease(RIHD)is a severe complication in patients with thoracic cancer undergoing radiotherapy,with important impacts on long-term survival among cancer survivors.There is an urgent need to investigate the pathogenesis of RIHD and to develop effective therapeutic agents,and the establishment of high-quality RIHD animal models is pivotal to addressing these issues.This review summarizes the critical factors to consider in establishing RIHD animal models,including species selection,radiation type,dosage,fractionation,and target fields,and modeling timeline,along with the evaluation method and success criteria.We also consider the potential pathogenic mechanisms underlying RIHD,including DNA damage,oxidative stress,inflammatory responses,mitochondrial dysfunction,renin-angiotensin-aldosterone system activation,and myocardial fibrosis,as well as their interrelationships.These insights provide a comprehensive reference framework for constructing RIHD animal models and advancing mechanistic investigations into this condition.

Radiation-induced heart disease(RIHD)is a severe complication in patients with thoracic cancer undergoing radiotherapy,with important impacts on long-term survival among cancer survivors.There is an urgent need to investigate the pathogenesis of RIHD and to develop effective therapeutic agents,and the establishment of high-quality RIHD animal models is pivotal to addressing these issues.This review summarizes the critical factors to consider in establishing RIHD animal models,including species selection,radiation type,dosage,fractionation,and target fields,and modeling timeline,along with the evaluation method and success criteria.We also consider the potential pathogenic mechanisms underlying RIHD,including DNA damage,oxidative stress,inflammatory responses,mitochondrial dysfunction,renin-angiotensin-aldosterone system activation,and myocardial fibrosis,as well as their interrelationships.These insights provide a comprehensive reference framework for constructing RIHD animal models and advancing mechanistic investigations into this condition.

Epilepsy is one of the most common chronic brain diseases,and taking anti-seizure medications(ASMs)is the main treatment method.When patients with epilepsy achieve long-term remission,gradually reducing ASMs has become a common concern for both patients and doctors.However,there is significant heterogeneity in current research on withdrawal of epilepsy medication.This article provides a literature review on whether patients with epilepsy who have been taking ASMs for a long time without seizures can be withdrawn,how long it takes to withdraw without seizures,how to withdraw medication,recurrence and prognosis after withdrawal,and factors affecting recurrence and prognosis.

Cognitive dysfunction is the impairment of higher brain functions.Cognitive impairment caused by neuropsychiatric diseases has caused serious impact on patients'quality of life and the outcome of the disease.The transcranial alternating current stimulation(tACS)improves cognitive function by modulating neural oscillations of specific frequencies,affecting the release of neurotransmitters such as serotonin and dopamine,and enhancing local and distal synchronization of brain networks.Specific frequencies of tACS can improve the cognitive impairment caused by Alzheimer disease(AD),schizophrenia,and depression,among which the gamma and theta frequencies of tACS have the most significant effects on cognitive function.tACS has high safety and low operational difficulty,and has great potential to improve cognitive function.

Improving the reproducibility of biomedical research results is a major challenge. Transparent and accurate reporting of the research process enables readers to evaluate the reliability of the research results and further explore the experiment by repeating it or building upon its findings. The ARRIVE 2.0 guidelines, released in 2019 by the UK National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs), provide a checklist that is applicable to any in vivo animal research report. These guidelines aim to improve the standardization of experimental design, implementation, and reporting, as well as enhance the reliability, repeatability, and clinical translation of animal experimental results. The use of the ARRIVE 2.0 guidelines not only enriches the details of animal experimental research reports, ensuring that information on animal experimental results is fully evaluated and utilized, but also enables readers to understand the content expressed by the author accurately and clearly, promoting the transparency and completeness of the fundamental research review process. At present, the ARRIVE 2.0 guidelines have been widely adopted by international biomedical journals. This article is based on the best practices following the ARRIVE 2.0 guidelines in international journals, and it interprets, explains, and elaborates in Chinese the fifth part of the comprehensive version of the ARRIVE 2.0 guidelines published in PLoS Biology in 2020 (the original text can be found at https://arriveguidelines.org). This section includes the items 6-11 of Recommended 11 section, covering "Animal Care and Monitoring", "Interpretation/Scientific Implications", "Generalisability/Translation", "Protocol Registration", "Data Access" and "Declaration of Interests". Its aim is to promote a comprehensive understanding and use of the ARRIVE 2.0 guidelines among domestic researchers, to enhance the standardization of experimental animal research and reporting, and to promote high-quality development of experimental animal sciences and comparative medicine research in China.

Depression is a common mental disorder characterized primarily by low mood accompanied by cognitive and behavioral changes. The commonly used antidepressants are not fast onset. Even with a long term pharmacotherapy, relapse rate is still quite high. Transcranial alternating current stimulation (tACS) is a non-invasive brain stimulation technique that has been increasingly used in the treatment of depression in recent years. Since depression is associated with abnormalities in endogenous neural oscillations and synaptic plasticity in the brain, tACS can influence these process, thereby treating depression. Different frequencies of tACS stimulation can improve depressive symptoms, with gamma (γ) and alpha (α) frequencies receiving the most attention. This article primarily reviews the potential mechanisms of tACS and the application of tACS at different frequencies in treating depression, aiming to further explore the feasibility of tACS in the treatment of depression.

Depression is a common mental disorder characterized primarily by low mood accompanied by cognitive and behavioral changes. The commonly used antidepressants are not fast onset. Even with a long term pharmacotherapy, relapse rate is still quite high. Transcranial alternating current stimulation (tACS) is a non-invasive brain stimulation technique that has been increasingly used in the treatment of depression in recent years. Since depression is associated with abnormalities in endogenous neural oscillations and synaptic plasticity in the brain, tACS can influence these process, thereby treating depression. Different frequencies of tACS stimulation can improve depressive symptoms, with gamma (γ) and alpha (α) frequencies receiving the most attention. This article primarily reviews the potential mechanisms of tACS and the application of tACS at different frequencies in treating depression, aiming to further explore the feasibility of tACS in the treatment of depression.

ObjectiveTo investigate the willingness of middle school students to engage in medicine and its influencing factors during COVID-19 pandemic in Lanzhou， so as to provide references for the early career planning education on middle school students. MethodsConvenient sampling method was used to choose 1 795 middle school students from 5 schools in Lanzhou from July 21 to July 31， 2022 for this study where an online questionnaire survey was distributed to collect data. A self-compiled questionnaire was used to gather the general information， assess the willingness to engage in medicine and seek the underlying reasons. The psychological resilience level of students was assessed using Resilience Scale for Adolescents. Then multivariate Logistic regression analysis was conducted to screen the factors associated with the willingness of middle school students to engage in medicine. ResultsAfter the local outbreak of COVID-19 in Lanzhou， 835 （46.52%） middle school students demonstrated their willingness to engage in medicine， and the top three reasons for their willingness were being affected by medical staff during the pandemic （75.69%）， having interests in medical sciences （67.31%）， and the potential increase of attention to national medical development after the epidemic （43.23%）. Logistical regression analysis showed that female gender （OR=1.438， P<0.01）， family members engaged in the medical and health industry （OR=1.574， P<0.01） and having a high psychological resilience score （OR=1.011， P<0.01） were related to the clear willingness to engage in medicine， while studying in senior middle school （OR=0.473， P<0.01） and excessive exposure （≥50%） to negative information during the epidemic （OR=0.797， P<0.05） were related to declining willingness to engage in medicine. ConclusionAfter the COVID-19 outbreak in Lanzhou， a large proportion of local middle school students show their willingness to engage in medicine， especially among those of female gender， having family members engaged in the medical and health industry and having high level of psychological resilience. Whereas students studying in senior middle school and with excessive exposure to negative information during the outbreak indicate low willingness to engage in medicine.